{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import cantera as ct\n",
    "import matplotlib.pyplot as plt\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species CH2OCH, discontinuity in cp/R detected at Tmid = 500\n",
      "\tValue computed using low-temperature polynomial:  8.393471510000001\n",
      "\tValue computed using high-temperature polynomial: 9.1801039121875\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species CH2OCH, discontinuity in h/RT detected at Tmid = 500\n",
      "\tValue computed using low-temperature polynomial:  42.199147089791666\n",
      "\tValue computed using high-temperature polynomial: 41.961461604875005\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species CH2OCH, discontinuity in s/R detected at Tmid = 500\n",
      "\tValue computed using low-temperature polynomial:  33.70692865946735\n",
      "\tValue computed using high-temperature polynomial: 33.51209988778391\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species C4H5-2, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  47.65235236593109\n",
      "\tValue computed using high-temperature polynomial: 48.43623165666667\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species C4H5-2, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  52.42918829260522\n",
      "\tValue computed using high-temperature polynomial: 54.320817046995025\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species C4H6-2, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  28.072393266570767\n",
      "\tValue computed using high-temperature polynomial: 28.60292515\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species C4H6-2, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  50.25139828976554\n",
      "\tValue computed using high-temperature polynomial: 51.51521152074738\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species C2H3CHOCH2, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  13.197490232436893\n",
      "\tValue computed using high-temperature polynomial: 13.009458623333332\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species C2H3CHOCH2, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  55.5754926344824\n",
      "\tValue computed using high-temperature polynomial: 53.05298769454252\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species CH3CHCHCHO, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  -0.87553076770625\n",
      "\tValue computed using high-temperature polynomial: -0.7952995433333321\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/1780454242.py:14: UserWarning: NasaPoly2::validate: \n",
      "For species CH3CHCHCHO, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  59.194456477008444\n",
      "\tValue computed using high-temperature polynomial: 62.495269678449205\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "T_0 = 1600.0 K, P_0 = 1.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 2.502e-06   1494.350       98715.783  1104662.374657\n",
      " 5.000e-06   1518.818      101346.172  1104662.374637\n",
      " 7.500e-06   1555.952      104390.278  1104662.374653\n",
      " 1.000e-05   1595.328      107443.225  1104662.374647\n",
      " 1.250e-05   1635.059      110539.085  1104662.374632\n",
      " 1.500e-05   1679.016      114021.430  1104662.374826\n",
      " 1.750e-05   1733.103      118361.087  1104662.374622\n",
      " 2.000e-05   1807.960      124426.862  1104662.374536\n",
      " 2.250e-05   1936.491      134893.738  1104662.373334\n",
      " 2.500e-05   2326.807      166537.612  1104662.370518\n",
      " 2.750e-05   2697.740      196171.035  1104662.370388\n",
      " 3.000e-05   2738.587      198756.345  1104662.370199\n",
      " 3.250e-05   2770.607      200688.061  1104662.369921\n",
      " 3.500e-05   2798.038      202318.595  1104662.369537\n",
      " 3.750e-05   2822.120      203742.064  1104662.370208\n",
      " 4.000e-05   2843.342      204991.816  1104662.371743\n",
      " 4.250e-05   2862.031      206089.173  1104662.371854\n",
      " 4.500e-05   2878.466      207051.592  1104662.371689\n",
      " 4.750e-05   2892.889      207894.286  1104662.371465\n",
      "Simulation time : 4.499630928039551 s.\n",
      "Ignition delay time :      23.23 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1400.0 K, P_0 = 1.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 1.500e-05   1344.848       99644.143   876013.862191\n",
      " 3.001e-05   1336.712      100058.588   876013.862171\n",
      " 4.501e-05   1338.737      100900.629   876013.862149\n",
      " 6.001e-05   1348.619      102203.373   876013.862142\n",
      " 7.500e-05   1367.205      104116.190   876013.862148\n",
      " 9.000e-05   1397.391      106920.206   876013.862107\n",
      " 1.050e-04   1444.824      111124.586   876013.862135\n",
      " 1.200e-04   1523.104      117987.100   876013.862146\n",
      " 1.350e-04   1696.147      133461.218   876013.862094\n",
      " 1.500e-04   2640.763      217716.246   876013.860928\n",
      " 1.650e-04   2804.016      228755.403   876013.860999\n",
      " 1.800e-04   2878.527      233700.629   876013.859758\n",
      " 1.950e-04   2911.580      235876.891   876013.859868\n",
      " 2.100e-04   2925.612      236797.644   876013.860321\n",
      " 2.250e-04   2931.419      237178.142   876013.860293\n",
      " 2.400e-04   2933.794      237333.664   876013.860302\n",
      " 2.550e-04   2934.760      237396.949   876013.860293\n",
      " 2.700e-04   2935.153      237422.673   876013.860283\n",
      " 2.850e-04   2935.312      237433.138   876013.860290\n",
      " 3.000e-04   2935.377      237437.426   876013.860290\n",
      "Simulation time : 4.674659729003906 s.\n",
      "Ignition delay time :     138.72 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1200.0 K, P_0 = 1.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 2.000e-04   1183.961      100700.948   654168.419935\n",
      " 4.000e-04   1173.896      100452.644   654168.419888\n",
      " 6.000e-04   1167.471      100406.310   654168.419889\n",
      " 8.000e-04   1163.712      100534.096   654168.419867\n",
      " 1.000e-03   1162.413      100851.186   654168.419857\n",
      " 1.200e-03   1163.974      101418.785   654168.419858\n",
      " 1.400e-03   1169.704      102381.032   654168.419867\n",
      " 1.600e-03   1183.282      104115.237   654168.419875\n",
      " 1.800e-03   1218.381      107988.001   654168.419791\n",
      " 2.000e-03   1428.314      129318.124   654168.419475\n",
      " 2.200e-03   2881.881      269590.183   654168.417603\n",
      " 2.400e-03   2881.955      269596.416   654168.417625\n",
      " 2.600e-03   2881.961      269597.531   654168.417626\n",
      " 2.800e-03   2881.967      269598.643   654168.417626\n",
      " 3.000e-03   2881.974      269599.751   654168.417625\n",
      " 3.200e-03   2881.980      269600.858   654168.417626\n",
      " 3.400e-03   2881.986      269601.962   654168.417626\n",
      " 3.600e-03   2881.993      269603.062   654168.417626\n",
      " 3.800e-03   2881.999      269604.160   654168.417627\n",
      " 4.000e-03   2882.005      269605.255   654168.417627\n",
      "Simulation time : 4.929479360580444 s.\n",
      "Ignition delay time :     2028.0 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1000.0 K, P_0 = 1.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 4.000e-03    999.432      101300.729   440953.194675\n",
      " 8.004e-03    998.309      101290.589   440953.194675\n",
      " 1.200e-02    996.970      101335.100   440953.194674\n",
      " 1.600e-02    995.901      101477.758   440953.194669\n",
      " 2.000e-02    995.674      101772.519   440953.194670\n",
      " 2.400e-02    997.056      102304.938   440953.194679\n",
      " 2.800e-02   1001.479      103250.444   440953.034089\n",
      " 3.200e-02   1012.894      105101.156   440953.034101\n",
      " 3.600e-02   1054.599      110692.314   440953.034065\n",
      " 4.000e-02   2827.185      314780.753   440953.036003\n",
      " 4.400e-02   2827.321      314807.408   440953.036008\n",
      " 4.800e-02   2827.451      314832.944   440953.036010\n",
      " 5.200e-02   2827.576      314857.406   440953.036012\n",
      " 5.600e-02   2827.695      314880.834   440953.036018\n",
      " 6.000e-02   2827.809      314903.271   440953.036017\n",
      " 6.400e-02   2827.919      314924.754   440953.036013\n",
      " 6.800e-02   2828.023      314945.323   440953.036008\n",
      " 7.200e-02   2828.124      314965.013   440953.035998\n",
      " 7.600e-02   2828.219      314983.860   440953.035983\n",
      "Simulation time : 5.147568941116333 s.\n",
      "Ignition delay time : 3.7768e+04 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1600.0 K, P_0 = 5.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 1.001e-06   1523.123      499345.799  1104662.374815\n",
      " 2.000e-06   1532.313      507940.287  1104662.374795\n",
      " 3.000e-06   1555.892      519127.483  1104662.374805\n",
      " 4.000e-06   1588.470      532477.268  1104662.374797\n",
      " 5.001e-06   1627.644      547828.760  1104662.374802\n",
      " 6.001e-06   1673.718      565820.819  1104662.374816\n",
      " 7.001e-06   1731.380      588569.680  1104662.374859\n",
      " 8.001e-06   1811.701      620646.398  1104662.374880\n",
      " 9.001e-06   1956.982      679334.166  1104662.374872\n",
      " 1.000e-05   2703.897      979787.851  1104662.375014\n",
      " 1.100e-05   2928.854     1049569.387  1104662.374926\n",
      " 1.200e-05   3043.843     1082711.726  1104662.375122\n",
      " 1.300e-05   3099.137     1098424.312  1104662.375222\n",
      " 1.400e-05   3125.430     1105849.343  1104662.375827\n",
      " 1.500e-05   3137.750     1109318.474  1104662.376068\n",
      " 1.600e-05   3143.468     1110926.539  1104662.375995\n",
      " 1.700e-05   3146.109     1111668.845  1104662.375993\n",
      " 1.800e-05   3147.326     1112011.120  1104662.376006\n",
      " 1.900e-05   3147.886     1112168.562  1104662.375981\n",
      "Simulation time : 4.670334577560425 s.\n",
      "Ignition delay time :      9.167 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1400.0 K, P_0 = 5.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 5.005e-06   1368.463      502050.741   876013.862372\n",
      " 1.000e-05   1356.692      502141.040   876013.862365\n",
      " 1.500e-05   1351.942      503652.277   876013.862359\n",
      " 2.000e-05   1352.256      506504.430   876013.862343\n",
      " 2.500e-05   1357.675      511026.379   876013.862342\n",
      " 3.000e-05   1369.658      517980.691   876013.862330\n",
      " 3.500e-05   1391.702      528918.228   876013.862379\n",
      " 4.000e-05   1431.593      547182.278   876013.862341\n",
      " 4.500e-05   1506.853      580327.009   876013.862350\n",
      " 5.000e-05   1660.810      648088.499   876013.862355\n",
      " 5.500e-05   2808.737     1144751.557   876013.862516\n",
      " 6.000e-05   3075.282     1232041.933   876013.862620\n",
      " 6.500e-05   3083.347     1234626.135   876013.862702\n",
      " 7.000e-05   3083.587     1234704.221   876013.862732\n",
      " 7.500e-05   3083.597     1234708.611   876013.862733\n",
      " 8.000e-05   3083.600     1234710.832   876013.862735\n",
      " 8.500e-05   3083.603     1234712.989   876013.862735\n",
      " 9.000e-05   3083.606     1234715.139   876013.862735\n",
      " 9.500e-05   3083.609     1234717.289   876013.862738\n",
      "Simulation time : 4.675725221633911 s.\n",
      "Ignition delay time :      52.14 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1200.0 K, P_0 = 5.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 6.506e-05   1193.550      505575.761   654168.419909\n",
      " 1.301e-04   1187.523      505267.934   654168.419909\n",
      " 1.951e-04   1183.177      505647.716   654168.419910\n",
      " 2.601e-04   1180.701      506782.189   654168.419905\n",
      " 3.251e-04   1180.380      508860.920   654168.419909\n",
      " 3.901e-04   1182.948      512304.060   654168.419907\n",
      " 4.551e-04   1190.245      518083.716   654168.419911\n",
      " 5.201e-04   1207.780      529001.794   654168.419912\n",
      " 5.850e-04   1263.833      559166.901   654168.419899\n",
      " 6.500e-04   3016.365     1397948.894   654168.419685\n",
      " 7.150e-04   3016.434     1397992.367   654168.419687\n",
      " 7.800e-04   3016.476     1398025.376   654168.419687\n",
      " 8.450e-04   3016.517     1398058.075   654168.419687\n",
      " 9.100e-04   3016.558     1398090.465   654168.419687\n",
      " 9.750e-04   3016.598     1398122.549   654168.419687\n",
      " 1.040e-03   3016.639     1398154.329   654168.419688\n",
      " 1.105e-03   3016.678     1398185.809   654168.419688\n",
      " 1.170e-03   3016.718     1398216.990   654168.419690\n",
      " 1.235e-03   3016.757     1398247.875   654168.419693\n",
      " 1.300e-03   3016.795     1398278.468   654168.419696\n",
      "Simulation time : 4.932939529418945 s.\n",
      "Ignition delay time :     628.81 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1000.0 K, P_0 = 5.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 7.507e-04    999.927      506607.419   440953.194678\n",
      " 1.500e-03    999.791      506619.284   440953.194678\n",
      " 2.250e-03    999.673      506758.304   440953.194678\n",
      " 3.001e-03    999.723      507155.948   440953.194678\n",
      " 3.751e-03   1000.162      507973.404   440953.055253\n",
      " 4.501e-03   1001.319      509432.869   440953.055254\n",
      " 5.251e-03   1003.741      511887.561   440953.055255\n",
      " 6.001e-03   1008.473      516005.650   440953.055254\n",
      " 6.751e-03   1018.021      523363.309   440953.055259\n",
      " 7.501e-03   1041.285      539414.534   440953.055254\n",
      " 8.251e-03   1259.206      671066.128   440953.054995\n",
      " 9.000e-03   2948.997     1628572.316   440953.054371\n",
      " 9.750e-03   2949.358     1628895.471   440953.054346\n",
      " 1.050e-02   2949.688     1629191.371   440953.054241\n",
      " 1.125e-02   2949.990     1629462.111   440953.054170\n",
      " 1.200e-02   2950.265     1629709.663   440953.053302\n",
      " 1.275e-02   2950.517     1629935.868   440953.050033\n",
      " 1.350e-02   2950.747     1630142.450   440953.049335\n",
      " 1.425e-02   2950.956     1630331.010   440953.049392\n",
      " 1.500e-02   2951.147     1630503.038   440953.049117\n",
      "Simulation time : 5.045728921890259 s.\n",
      "Ignition delay time :     8280.0 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1600.0 K, P_0 = 30.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 3.000e-07   1554.753     3016229.380  1104662.374803\n",
      " 6.000e-07   1549.074     3040334.165  1104662.374793\n",
      " 9.000e-07   1556.624     3079587.488  1104662.374787\n",
      " 1.200e-06   1575.267     3136006.561  1104662.374783\n",
      " 1.500e-06   1605.617     3213787.556  1104662.374784\n",
      " 1.800e-06   1648.667     3316862.062  1104662.374787\n",
      " 2.100e-06   1704.365     3446876.633  1104662.374787\n",
      " 2.400e-06   1773.084     3607426.328  1104662.374779\n",
      " 2.700e-06   1861.970     3817984.365  1104662.374768\n",
      " 3.000e-06   2002.045     4154330.918  1104662.374787\n",
      " 3.300e-06   2738.685     5901768.048  1104662.374799\n",
      " 3.600e-06   3279.037     6888992.026  1104662.374612\n",
      " 3.900e-06   3319.595     6955885.471  1104662.374660\n",
      " 4.200e-06   3322.245     6960249.125  1104662.374613\n",
      " 4.500e-06   3322.424     6960553.067  1104662.374612\n",
      " 4.800e-06   3322.440     6960588.741  1104662.374612\n",
      " 5.100e-06   3322.445     6960606.333  1104662.374612\n",
      " 5.400e-06   3322.450     6960622.532  1104662.374612\n",
      " 5.700e-06   3322.454     6960638.519  1104662.374612\n",
      "Simulation time : 4.745217561721802 s.\n",
      "Ignition delay time :     2.9973 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1400.0 K, P_0 = 30.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 1.501e-06   1388.126     3031021.277   876013.862350\n",
      " 3.001e-06   1380.588     3034115.571   876013.862350\n",
      " 4.501e-06   1376.695     3043367.414   876013.862350\n",
      " 6.001e-06   1376.224     3058714.606   876013.862350\n",
      " 7.501e-06   1379.538     3081816.476   876013.862350\n",
      " 9.001e-06   1387.940     3116493.746   876013.862351\n",
      " 1.050e-05   1404.578     3171046.820   876013.862470\n",
      " 1.200e-05   1437.336     3265657.918   876013.862458\n",
      " 1.350e-05   1509.315     3459684.752   876013.862447\n",
      " 1.500e-05   1689.403     3934965.518   876013.862448\n",
      " 1.650e-05   2983.767     7208628.769   876013.862461\n",
      " 1.800e-05   3240.520     7702286.673   876013.862398\n",
      " 1.950e-05   3240.546     7702379.191   876013.862398\n",
      " 2.100e-05   3240.568     7702463.954   876013.862398\n",
      " 2.250e-05   3240.589     7702548.010   876013.862398\n",
      " 2.400e-05   3240.611     7702631.629   876013.862398\n",
      " 2.550e-05   3240.632     7702714.891   876013.862398\n",
      " 2.700e-05   3240.653     7702797.820   876013.862398\n",
      " 2.850e-05   3240.675     7702880.423   876013.862398\n",
      "Simulation time : 4.770970821380615 s.\n",
      "Ignition delay time :     15.525 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1200.0 K, P_0 = 30.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 1.001e-05   1199.329     3039023.760   654168.419906\n",
      " 2.000e-05   1198.489     3039609.188   654168.419906\n",
      " 3.000e-05   1197.778     3042503.655   654168.419906\n",
      " 4.000e-05   1197.509     3048188.927   654168.419906\n",
      " 5.000e-05   1197.946     3056951.602   654168.419906\n",
      " 6.000e-05   1199.347     3069187.289   654168.419906\n",
      " 7.000e-05   1202.025     3085606.053   654168.419906\n",
      " 8.001e-05   1206.451     3107514.428   654168.419909\n",
      " 9.001e-05   1213.428     3137244.443   654168.419911\n",
      " 1.000e-04   1224.572     3179615.679   654168.419912\n",
      " 1.100e-04   1243.764     3246167.598   654168.419909\n",
      " 1.200e-04   1284.196     3375956.078   654168.419894\n",
      " 1.300e-04   1464.899     3926631.755   654168.419857\n",
      " 1.400e-04   3156.883     8695727.803   654168.419612\n",
      " 1.500e-04   3157.007     8696262.232   654168.419612\n",
      " 1.600e-04   3157.129     8696786.281   654168.419612\n",
      " 1.700e-04   3157.248     8697300.407   654168.419612\n",
      " 1.800e-04   3157.365     8697804.772   654168.419612\n",
      " 1.900e-04   3157.480     8698299.535   654168.419614\n",
      "Simulation time : 4.9125261306762695 s.\n",
      "Ignition delay time :      131.7 us.\n",
      "\n",
      "============================================================\n",
      "T_0 = 1000.0 K, P_0 = 30.0 atm, Phi = 1.0\n",
      "Number of species :   194\n",
      "Number of reactions :  1459\n",
      "     t [s]      T [K]          P [Pa]        u [J/kg]\n",
      " 2.000e-04    999.971     3039722.359   440953.194677\n",
      " 4.000e-04    999.986     3040069.577   440953.194677\n",
      " 6.000e-04   1000.229     3041594.948   440953.060256\n",
      " 8.000e-04   1000.956     3045351.228   440953.060256\n",
      " 1.000e-03   1002.526     3052780.314   440953.060256\n",
      " 1.200e-03   1005.541     3066245.687   440953.060256\n",
      " 1.400e-03   1011.221     3090461.943   440953.060257\n",
      " 1.600e-03   1022.972     3138338.715   440953.060257\n",
      " 1.800e-03   1058.483     3274438.116   440953.060242\n",
      " 2.000e-03   3074.017    10103469.090   440953.059992\n",
      " 2.200e-03   3075.246    10109533.389   440953.059957\n",
      " 2.400e-03   3076.152    10114018.713   440953.057808\n",
      " 2.600e-03   3076.817    10117313.446   440953.056732\n",
      " 2.800e-03   3077.302    10119721.253   440953.056772\n",
      " 3.000e-03   3077.654    10121472.764   440953.057630\n",
      " 3.200e-03   3077.910    10122745.916   440953.058128\n",
      " 3.400e-03   3078.095    10123668.417   440953.058356\n",
      " 3.600e-03   3078.229    10124335.874   440953.058237\n",
      " 3.800e-03   3078.326    10124818.301   440953.058945\n",
      " 4.000e-03   3078.396    10125166.736   440953.058887\n",
      "Simulation time : 5.263213157653809 s.\n",
      "Ignition delay time :     1933.2 us.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2304x1080 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dts = [2.5e-9, 1.5e-8, 2e-7, 4e-6,\n",
    "    1e-9, .5e-8, .65e-7, .75e-6,\n",
    "    3e-10, 1.5e-9, 1e-8, 2e-7]\n",
    "n_steps= 20000\n",
    "phi= 1.0\n",
    "case_idx = 0\n",
    "plt.figure(figsize=(32, 15))\n",
    "reaction_rates = []\n",
    "net_production_rates = []\n",
    "\n",
    "for init_P in [1.0, 5.0, 30.0]:\n",
    "    for init_T in [1600.0, 1400.0, 1200.0, 1000.0]:\n",
    "        dt = dts[case_idx]\n",
    "        gas = ct.Solution('JetSurf_1_0.yaml')\n",
    "        gas.TP = init_T, init_P * ct.one_atm\n",
    "        gas.set_equivalence_ratio(phi=phi, fuel=\"NC7H16\", oxidizer={\"O2\": 1.0, \"N2\": 3.76})\n",
    "\n",
    "        r = ct.IdealGasMoleReactor(contents=gas, name=\"Batch Reactor\") # constant volume reactor\n",
    "        sim = ct.ReactorNet([r])\n",
    "        sim.verbose = False\n",
    "        # if plt_idx != 1:\n",
    "        # sim.preconditioner = ct.AdaptivePreconditioner() # add preconditioner to the network\n",
    "        states = ct.SolutionArray(gas, extra=['t'])\n",
    "\n",
    "        print(\"\\n\" + \"=\" * 60)\n",
    "        print(f'T_0 = {init_T:4} K, P_0 = {init_P:2} atm, Phi = {phi:.1f}')\n",
    "        print(f\"Number of species : {gas.n_species:5}\")\n",
    "        print(f\"Number of reactions : {gas.n_reactions:5}\") # number of elementary reactions in the mechanism\n",
    "        start_time = time.time()\n",
    "\n",
    "        print('{:>10s} {:>10s} {:>15s} {:>15s}'.format('t [s]', 'T [K]', 'P [Pa]', 'u [J/kg]'))\n",
    "        ignited = False\n",
    "        for i in range(n_steps):\n",
    "            sim.advance(sim.time + dt)\n",
    "            states.append(r.thermo.state, t=sim.time*1e6)\n",
    "            if r.T >= init_T + 400. and ignited is False:\n",
    "                ignited = True\n",
    "                idt = sim.time*1e6\n",
    "            reaction_rates.append(r.kinetics.net_rates_of_progress) # elementary reaction rates\n",
    "            net_production_rates.append(r.kinetics.net_production_rates) # net production rates of species\n",
    "            if (sim.time // dt) % 1000 == 0:\n",
    "                print('{:10.3e} {:10.3f} {:15.3f} {:15.6f}'.format(sim.time, r.T, r.thermo.P, r.thermo.u))\n",
    "\n",
    "        print(f\"Simulation time : {time.time() - start_time} s.\")\n",
    "        print(f'Ignition delay time : {idt:10.5} us.')\n",
    "\n",
    "        case_idx += 1\n",
    "        plt.subplot(3, 4, case_idx)\n",
    "        plt.plot(states.t, states.T)\n",
    "        plt.title(f'$T_0$ = {init_T:4} K, $P_0$ = {init_P:2} atm, $\\Phi$ = {phi:.1f}')\n",
    "        plt.xlabel('Time ($\\mu$s)')\n",
    "        plt.ylabel('Temperature (K)')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "plt.savefig('detailed_reactor.pdf')\n",
    "plt.savefig('detailed_reactor.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reaction rate shape : (240000, 1459), Species rate shape : (240000, 194).\n"
     ]
    }
   ],
   "source": [
    "reaction_rates = np.array(reaction_rates)\n",
    "net_production_rates = np.array(net_production_rates)\n",
    "\n",
    "np.save('elementary_reaction_rates.npy', reaction_rates)\n",
    "np.save('net_production_rates.npy', net_production_rates)\n",
    "print(f\"Reaction rate shape : {reaction_rates.shape}, \"\n",
    "      f\"Species rate shape : {net_production_rates.shape}.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stoichiometric matrix shape : (1459, 194).\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species CH2OCH, discontinuity in cp/R detected at Tmid = 500\n",
      "\tValue computed using low-temperature polynomial:  8.393471510000001\n",
      "\tValue computed using high-temperature polynomial: 9.1801039121875\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species CH2OCH, discontinuity in h/RT detected at Tmid = 500\n",
      "\tValue computed using low-temperature polynomial:  42.199147089791666\n",
      "\tValue computed using high-temperature polynomial: 41.961461604875005\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species CH2OCH, discontinuity in s/R detected at Tmid = 500\n",
      "\tValue computed using low-temperature polynomial:  33.70692865946735\n",
      "\tValue computed using high-temperature polynomial: 33.51209988778391\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species C4H5-2, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  47.65235236593109\n",
      "\tValue computed using high-temperature polynomial: 48.43623165666667\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species C4H5-2, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  52.42918829260522\n",
      "\tValue computed using high-temperature polynomial: 54.320817046995025\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species C4H6-2, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  28.072393266570767\n",
      "\tValue computed using high-temperature polynomial: 28.60292515\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species C4H6-2, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  50.25139828976554\n",
      "\tValue computed using high-temperature polynomial: 51.51521152074738\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species C2H3CHOCH2, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  13.197490232436893\n",
      "\tValue computed using high-temperature polynomial: 13.009458623333332\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species C2H3CHOCH2, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  55.5754926344824\n",
      "\tValue computed using high-temperature polynomial: 53.05298769454252\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species CH3CHCHCHO, discontinuity in h/RT detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  -0.87553076770625\n",
      "\tValue computed using high-temperature polynomial: -0.7952995433333321\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n",
      "/tmp/ipykernel_4071599/2940183640.py:1: UserWarning: NasaPoly2::validate: \n",
      "For species CH3CHCHCHO, discontinuity in s/R detected at Tmid = 1000\n",
      "\tValue computed using low-temperature polynomial:  59.194456477008444\n",
      "\tValue computed using high-temperature polynomial: 62.495269678449205\n",
      "\n",
      "  gas = ct.Solution('JetSurf_1_0.yaml')\n"
     ]
    }
   ],
   "source": [
    "gas = ct.Solution('JetSurf_1_0.yaml')\n",
    "gas.TP = 1000, 1.0 * ct.one_atm\n",
    "gas.set_equivalence_ratio(phi=1.0, fuel=\"NC7H16\", oxidizer={\"O2\": 1.0, \"N2\": 3.76})\n",
    "\n",
    "stoichiometric_matrix = []\n",
    "for reaction in gas.reactions():\n",
    "    stoichiometric_coefficients = [0] * len(gas.species())\n",
    "    for reactant, coefficient in reaction.reactants.items():\n",
    "        stoichiometric_coefficients[gas.species_index(reactant)] -= coefficient\n",
    "    for product, coefficient in reaction.products.items():\n",
    "        stoichiometric_coefficients[gas.species_index(product)] += coefficient\n",
    "    stoichiometric_matrix.append(stoichiometric_coefficients)\n",
    "stoichiometric_matrix = np.array(stoichiometric_matrix)\n",
    "\n",
    "np.save('stoichiometric_matrix.npy', stoichiometric_matrix)\n",
    "print(f\"Stoichiometric matrix shape : {stoichiometric_matrix.shape}.\")"
   ]
  }
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